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Salesforce Technical Lead ID87001

AgileEngine
Trivandrum, Kerala, India Posted Oct 27, 2026
Full-time

About this role

We are looking for a Tech Lead to guide delivery across Salesforce and AI agent initiatives, with hands-on experience building agents on platforms like Claude and Agentforce. This person bridges business stakeholders and engineering teams, translating priorities into solid solution design. Strong project management and cross-functional communication round out the role.

The mandatory requirements are 6+ years of experience in software engineering or technical solution delivery, proven technical leadership, hands-on Salesforce experience, and experience building AI agents or intelligent automation solutions.

RECRUITMENT PROCESS

  1. Application — Share a few details about your experience and background.

  2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.

  3. Video Interview — Record a short video introduction in English.

  4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.

  5. Offer — If it’s a match, you’ll receive an offer.

WHAT YOU’LL GAIN

  • Remote work — Work from where you feel most productive.

  • Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.

  • Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.

  • Exciting projects — Work with modern technologies for global clients and fast-growing companies.

MUST HAVES

  • 6+ years of experience in software engineering, platform engineering, or technical solution delivery.

  • Proven experience in a Tech Lead, Technical Project Lead, or equivalent role.

  • Strong project management and cross-functional delivery experience.

  • Hands-on Salesforce experience, including platform capabilities, integrations, workflows, and enterprise use cases.

  • Experience building or enabling AI agents, assistant workflows, or intelligent automation solutions.

  • Familiarity with Claude, Agentforce, or comparable LLM and agent-building platforms.

  • Strong understanding of solution architecture, systems integration, APIs, and enterprise application design.

  • Excellent stakeholder communication, technical leadership, and problem-solving skills.

  • Upper-intermediate English level.

NICE TO HAVES

  • Experience across Salesforce development, administration, or solution architecture.

  • Familiarity with prompt design, agent orchestration, grounding patterns, and AI workflow evaluation.

  • Experience leading Agile delivery across engineering and business teams.

  • Exposure to cloud platforms, data pipelines, analytics ecosystems, or workflow automation tooling.

  • Salesforce certifications or relevant AI/platform certifications.

  • Technical leadership.

  • Project management.

  • Salesforce platform.

  • Agentforce.

  • Claude.

  • AI agent building.

  • Solution architecture.

  • APIs and integrations.

  • Stakeholder management.

  • Delivery execution.

WHAT YOU WILL DO

  • Lead end-to-end technical delivery for projects spanning Salesforce, AI agent solutions, integrations, and enterprise workflows.

  • Partner with business stakeholders, product managers, architects, and engineering teams to define scope, solution approach, priorities, and implementation plans.

  • Design scalable technical solutions across Salesforce and related platforms, ensuring alignment with business requirements and long-term architecture goals.

  • Provide hands-on technical leadership for agent-building initiatives using Claude, Agentforce, and related AI tooling.

  • Guide the development of AI-enabled workflows, automation patterns, and user-facing agent experiences.

  • Drive project execution by managing dependencies, technical risks, delivery milestones, and cross-team coordination.

  • Review technical designs, code, configurations, and implementation approaches to ensure quality and maintainability.

  • Mentor engineers and developers, support technical decision-making, and establish engineering best practices.

  • Collaborate with data, product, and business teams to prioritize high-value use cases and operationalize solutions effectively.

  • Ensure solutions meet standards for governance, security, reliability, and supportability.

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